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A real-time face tracking and recognition system is constructed based on Seetaface, and it is proposed to use Gamma correction to reduce the impact of illumination changes on the detection and recognition results. First, the system has face detection function, then by using OpenCV to get the image in front of the camera, the system completes the fu...
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Highlights
An ensemble method using color segmentation, deep learning, and image transformation was developed.
Experiments were conducted to compare the method with other state-of-the-art tracking algorithms.
The optimized ensemble method to track bolls achieved 94.4% accuracy using weakly trained tiny YOLOv2 models.
The method achieved 7.6 frames...